1. business and industrial

Using Knowledge to
Drive Innovation
Learning your way!
Seminars and Courses
The Data Science Academy currently offers one-day
seminars and five-day courses.
All seminars and courses are held by renowned data
scientists and business leaders, delivered in small
group format with hands-on sessions to allow intense
discussions between participants and the experts.
E-learning
Our e-learning courses allow you to join from your office
without the need to travel. These training courses are
specially designed for specialists and business users,
as well as data scientists, and will be included in the
academy programme from summer 2014. Focus is given
to practical insights on how to use predictive analytics in
today’s modern business environment.
Campus
As a course participant you can log in to the
password-protected “Campus” area on the
Academy website. Here you will have easy access
to all course learning material, presentations and
exercises.
Predictive analytics for everyone
Dr. Ulrich Kerzel
Prof. Dr. Michael Feindt
Welcome to the Data Science Academy
Data science know-how is an essential asset in today’s fast-paced business world.
The strategic use of Big Data and predictive analytics are the key to success in a diverse
range of business and commercial applications.
The Data Science Academy’s mission is to bring statistical and specialist competence to
the enterprise, focusing on the application of predictive analytics in a data-driven business world. The
academy provides a place for knowledge transfer, common learning, experimenting and the training of
entrepreneurs, expert decision-makers, and IT specialists by leading
data scientists and business experts.
We view the academy as a “living“ and interactive training model closely aligned to the
needs of the participants and equipping them with the know-how needed to advance existing business
models and pursue new opportunities.
Leading data scientists and business experts will focus on your business needs at the
academy.
We look forward to welcoming you soon to the Data Science Academy.
Dr. Ulrich Kerzel
Prof. Dr. Michael Feindt
Head of the Data Science Academy Scientific advisor to the Data Science Academy 3
For enterprise
strategists & managers
For enterprise strategists & managers
Anchoring big data & predictive analytics
in your business
Business User
On this one-day course, discover the
strategic “keys“ that can unlock the power
of big data to increase your organisation’s
productivity. Discover untapped potential
for innovation at your organisation and
re-define your growth path
Course content
u
u
Big Data: Opportunities & challenges
Predictive analytics
u
Data
science management
u
Applications
u
Forecasts
in practice
and decisions
Goals
For analysts, natural
scientists, and engineers
After the course, you will understand the possibilities
that big data and predictive analytics offer to businesses.
You will know how projects are approached and realised
in concrete terms. You will also have an understanding
of the practical work involved with forecasts and how
forecasts are correctly statistically analysed.
IT & Partner
Dates:
Speakers
on request
Uwe Weiss
Weiss is a passionate software expert and is the CEO of
Blue Yonder and advisor to the Data Science Academy.
Dr. Ulrich Kerzel
Kerzel is a senior data scientist at Blue Yonder and cofounder and head of the Data Science Academy. He is a
renowned scientist with research experience gained at
the University of Cambridge and CERN.
Dr. Frank Kienle
Kienle is a senior data scientist at Blue Yonder and
specialises in machine data and the new mega-trend,
the Internet of Things
Price
£ 890 plus VAT (value-added tax) per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
1 day
Find more details: www.datascienceacademy.co.uk
4
For enterprise
strategists & managers
For enterprise strategists & managers
Exploratory and interactive
visual data analysis
For analysts, natural
scientists, and engineers
Business User
In a single day, learn the effective use of
statistical as well as interactive visual
methods for exploratory data analysis. Gain
new insights into complex data sets in order
to quickly check your hypotheses and to
develop data-driven business strategies.
Course content
u
Introduction
on request
u
Overview
u
Data
u
of commercial and open-source EDA tools
preparation and univariate analysis
Interactive visual analysis (IVA)
IT & Partner
Dates:
to exploratory data analysis (EDA)
Goals
After completing this course, you will be familiar with
effective methods to extract information from complex
datasets and how to find anomalies and unexpected
correlations. In addition, course participants will develop
an understanding of how exploratory data analysis leads
to the discovery of new insights and hypotheses, and
how key business objectives can be refined by using a
data-driven approach.
Speaker
Dr. Achim Tappe
Data Science Consultant at Blue Yonder. Experienced
data scientist with a passion for complex analytical
problems.
Price
£ 890 plus VAT (value-added tax) per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
1 day
Find more details: www.datascienceacademy.co.uk
5
For enterprise
strategists & managers
For enterprise strategists & managers
Data Science in retail and commerce opportunities and challenges
Business User
In a single day, learn the fundamentals
and application possibilities of dynamic
pricing and automated goods management
in commerce and retail, using examples from
real business cases
Course content
u
Introduction
u
to Statistics
Forecast quality
u
Lecture:
Dynamic pricing − acting instead of reacting
u
Presentation:
Automated goods management pays
off − fundamentals and applications of sales forecasts
and materials planning
For analysts, natural
scientists, and engineers
Goals
After the course, you will understand the possibilities
that big data and predictive analytics offer to businesses.
You will know how projects are approached and realised
in concrete terms. You will also have an understanding
of the practical work involved with forecasts and how
forecasts are correctly statistically analysed.
Dates:
IT & Partner
on request
Speakers
Uwe Weiss
Weiss is a passionate software expert and is the CEO of
Blue Yonder and advisor to the Data Science Academy.
Dr. Ulrich Kerzel
Kerzel is a senior data scientist at Blue Yonder and cofounder and head of the Data Science Academy. He is a
renowned scientist with research experience gained at
the University of Cambridge and CERN.
Dr. Frank Kienle
Kienle is a senior data scientist at Blue Yonder and
specialises in machine data and the new mega-trend,
the Internet of Things.
Price
£ 890 plus VAT (value-added tax) per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
1 day
Find more details: www.datascienceacademy.co.uk
6
For enterprise
strategists & managers
Business User
Working with statistical techniques
Course content
u
Big
Data
u
Predictive
Analytics
u
Introduction
Business User
On this one-day course, learn how
statistical techniques and forecasts can
transform the day-to-day work of your
organisation. We provide you with an
exciting, new and relevant view of forecasts
by giving you a solid grounding in statistics.
to Statistics
u
Prediction quality
u
Case studies
on request
After the course, you will understand the potential that
big data and predictive analytics offers businesses.
You will know how to concretely approach projects and
deliver them. You will have a fundamental understanding
of the statistical challenges in forecast evaluation, know
the most important forecast quality measures, and know
how they are used. In addition, you will know how to deal
with probability distributions. You will be able to verify
the quality of a forecast, which is absolute essential for
good decision-making.
IT & Partner
Dates:
For analysts, natural
scientists, and engineers
Goals
Speakers
Dr. Ulrich Kerzel
Kerzel is a senior data scientist at Blue Yonder and cofounder and head of the Data Science Academy. He is a
renowned scientist with research experience gained at
the University of Cambridge and CERN.
Price
£ 890 plus VAT (value-added tax) per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
1 day
Find more details: www.datascienceacademy.co.uk
7
For enterprise
strategists & managers
Business User
Exploratory and interactive
visual data analysis
Business User
In a single day, learn the effective use
of statistical as well as interactive visual
methods for exploratory data analysis. Gain
new insights into complex data sets in order to
quickly check your hypotheses and to develop
data-driven business strategies.
For analysts, natural
scientists, and engineers
Course content
u
Introduction
u
Overview
IT & Partner
Dates:
u
Data
on request
u
to exploratory data analysis (EDA)
of commercial and open-source EDA tools
preparation and univariate analysis
Interactive visual analysis (IVA)
Goals
After completing this course, you will be familiar with
effective methods to extract information from complex
datasets and how to find anomalies and unexpected
correlations. In addition, course participants will develop
an understanding of how exploratory data analysis leads
to the discovery of new insights and hypotheses, and
how key business objectives can be refined by using a
data-driven approach.
Speaker
Dr. Achim Tappe
Data Science Consultant at Blue Yonder. Experienced
data scientist with a passion for complex analytical
problems.
Price
£ 890 plus VAT (value-added tax) per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
1 day
Find more details: www.datascienceacademy.co.uk
8
For enterprise
strategists & managers
Business User
Data Science in retail and commerce opportunities and challenges
Course content
u
Introduction
u
to Statistics
Forecast quality
u
Lecture:
Business User
In a single day, learn the fundamentals
and application possibilities of dynamic
pricing and automated goods management
in commerce and retail, using examples from
real business cases
Dynamic pricing − acting instead of reacting
u
Presentation:
Automated goods management pays
off − fundamentals and applications of sales forecasts
and materials planning
For analysts, natural
scientists, and engineers
Goals
After the course, you will understand the possibilities
that big data and predictive analytics offer to businesses.
You will know how projects are approached and realised
in concrete terms. You will also have an understanding
of the practical work involved with forecasts and how
forecasts are correctly statistically analysed.
on request
Speakers
Uwe Weiss
Weiss is a passionate software expert and is the CEO of
Blue Yonder and advisor to the Data Science Academy.
IT & Partner
Dates:
Dr. Ulrich Kerzel
Kerzel is a senior data scientist at Blue Yonder and cofounder and head of the Data Science Academy. He is a
renowned scientist with research experience gained at
the University of Cambridge and CERN.
Dr. Frank Kienle
Kienle is a senior data scientist at Blue Yonder and
specialises in machine data and the new mega-trend,
the Internet of Things.
Price
£ 890 plus VAT (value-added tax) per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
1 day
Find more details: www.datascienceacademy.co.uk
9
For enterprise
strategists & managers
Business User
Overview in visualizing data
Business User
In this course you will learn the most effective
visualization techniques for your target group.
You will discover the basic principles of visualization, the different aims and how to choose the
right type of visual data representation
Course content
u
ain an understanding of the process of how to get
G
from a question to an answer based on data
u
Learn
the basic visualization principles, so that your
answers reach your viewers.
u
See
how the theory applies to a fictive example.
u
Apply
For analysts, natural
scientists, and engineers
the learning by discussing/critiquing visualization examples.
u
Tools
and visualization references help participants
to further explore the topic
Goals
After the course, you will:
u
Understand
u
Understand
u
Differentiate
u
Understand
Dates:
IT & Partner
on request
the importance of considering audience
and purpose when visualizing data
how to best employ visual perception
biases and how to work around limited attention
resources
between various purposes of
visualizations and their impact on choosing the right
visualization type
why empathy for the viewer/user of a
visualization is critical to its success.
Speaker
Sandra Nieves
Ms. Nieves is an experienced software designer with a
holistic view of the sector, and is the team leader for user
experience at Blue Yonder.
Price
£ 890 plus VAT (value-added tax) per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
1 day
Find more details: www.datascienceacademy.co.uk
10
For enterprise
strategists & managers
For analysts, natural scientists, and engineers
Exploratory and interactive
visual data analysis
For analysts, natural
scientists, and engineers
Business User
In a single day, learn the effective use of
statistical as well as interactive visual
methods for exploratory data analysis. Gain
new insights into complex data sets in order
to quickly check your hypotheses and to
develop data-driven business strategies.
Course content
u
Introduction
on request
u
Overview
u
Data
u
of commercial and open-source EDA tools
preparation and univariate analysis
Interactive visual analysis (IVA)
IT & Partner
Dates:
to exploratory data analysis (EDA)
Goals
After completing this course, you will be familiar with
effective methods to extract information from complex
datasets and how to find anomalies and unexpected
correlations. In addition, course participants will develop
an understanding of how exploratory data analysis leads
to the discovery of new insights and hypotheses, and
how key business objectives can be refined by using a
data-driven approach.
Speakers
Dr. Achim Tappe
Data Science Consultant at Blue Yonder. Experienced
data scientist with a passion for complex analytical
problems.
Price
£ 890 plus VAT (value-added tax) per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
1 day
Find more details: www.datascienceacademy.co.uk
11
For enterprise
strategists & managers
For analysts, natural scientists, and engineers
Introductory course in data science
In this intensive course, discover the methods
and applications used in data science and learn
how to put them into practice.
Business User
For analysts, natural
scientists, and engineers
The prerequisite for this course is
participation in the „Introduction to Python for
Data Science“ course or practical programming
experience in Python and knowledge of the
NumPy and pandas packages.
Course content
u
Fundamentals
of statistics I
u
Statistics fundamentals II
u
Predictive Analytics - predictive modelling I
u Predictive Modelling II
u Predictive modelling III and machine learning
u Forecast quality
u Overview of visualisation and data story-telling
Goals
After this course, you will have an overview of the methods and applications of data science, which you will have tested on practical,
real-world examples in a “hands-on” manner. You will understand
the most modern working methods and tools used by data scientists and will learn to use them in practice, by working through all
aspects of an example of a predictive analytics project.
Speakers
Dates:
IT & Partner
on request
Dr. Ulrich Kerzel
Kerzel is a senior data scientist at Blue Yonder and co-founder
and head of the Data Science Academy. He is a renowned
scientist with research experience gained at the University of
Cambridge and CERN.
Sandra Nieves
Ms. Nieves is an experienced software designer with a holistic
view of the sector, and is the team leader for user experience at
Blue Yonder.
Mayra de Lta Bautista
Ms De Lta Bautista is an interaction designer and designs and
shapes the holistic user experience for software solutions at
Blue Yonder, the motto of which is “a good user experience
does not happen by chance.“
Dr. Thomas Hermanns
Data Scientist at Blue Yonder. Looks for, and continually finds,
complex tasks beyond data analytics and data science that
fascinate him.
Dr. Florian Wilhelm
Senior Data Scientist at Blue Yonder. Expert for machine-learning
methods and mathematical modeling.
Daniel Stemmer
Senior Developer at Blue Yonder. Expert for intelligent data analysis and robust algorithms.
Price
£ 2.400 plus VAT per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Find more details: www.datascienceacademy.co.uk
12
For enterprise
strategists & managers
For analysts, natural scientists, and engineers
Overview in visualizing data
Course content
u
ain an understanding of the process of how to get
G
from a question to an answer based on data
Business User
In this course you will learn the most effective
visualization techniques for your target group. You
will discover the basic principles of
visualization, the different aims and how to choose
the right type of visual data representation
u
Learn
the basic visualization principles, so that your
answers reach your viewers.
u
See
how the theory applies to a fictive example.
u
Apply
For analysts, natural
scientists, and engineers
the learning by discussing/critiquing visualization examples.
u
Tools
and visualization references help participants
to further explore the topic
Goals
After the course, you will:
u
Understand
the importance of considering audience
and purpose when visualizing data
u
Understand
u
Differentiate
u
Understand
IT & Partner
how to best employ visual perception
biases and how to work around limited attention
resources
between various purposes of
visualizations and their impact on choosing the right
visualization type
why empathy for the viewer/user of a
visualization is critical to its success.
Speaker
Dates:
on request
Sandra Nieves
Ms. Nieves is an experienced software designer with a
holistic view of the sector, and is the team leader for user
experience at Blue Yonder.
Price
£ 890 plus VAT (value-added tax) per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
1 day
Find more details: www.datascienceacademy.co.uk
13
For enterprise
strategists & managers
For analysts, natural scientists, and engineers
Introduction to Python
for Data Science
Business User
In just two days, learn to carry out
data analyses on your own using
Python and get to know the opportunities
for speeding up calculations with
hardware-optimized algorithms.
Course content
u
Pragmatic
introduction to Python with a focus on the
aspects and modules relevant for data science.
u
I ntroduction to the Python basics, syntax, and
characteristics with IPython Notebook, an
interactive Python environment
Important Python modules for data science
applications
u Data exchange and data formats
(CSV, XML, JSON, etc.)
u
For analysts, natural
scientists, and engineers
u
Quick computations with NumPy
u
In-memory analytics with Python package pandas
u
ccess to databases with Python DB-API, pyodbc,
A
MySQLdb, and Psycopg2
Dates:
IT & Partner
on request
Goals
After the two-day course, you will be able to carry out
data analyses on your own using Python. In addition, you
will know the landscape of the relevant Python modules
for data analysis and know how to speed up calculations
with hardware-optimized algorithms.
Speakers
Dr. Felix Marczinowski
Data Scientist at Blue Yonder who focuses on software
design and software architecture for forecasting systems. Python expert.
Price
£ 1600 plus value-added tax (VAT) per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
2 days
Find more details: www.datascienceacademy.co.uk
14
Unternehmenstratege,
Manager
For analysts, natural scientists, and engineers
Data Science in retail and commerce opportunities and challenges
Course content
u
Introduction
Forecast quality
u
Lecture:
Business User
u
to Statistics
Dynamic pricing − acting instead of reacting
u
Presentation:
Automated goods management pays
off − fundamentals and applications of sales forecasts
and materials planning
For analysts, natural
scientists, and engineers
In a single day, learn the fundamentals
and application possibilities of dynamic
pricing and automated goods management in
commerce and retail, using examples from
real business cases
Dates:
After the course, you will understand the possibilities
that big data and predictive analytics offer to businesses.
You will know how projects are approached and realised
in concrete terms. You will also have an understanding
of the practical work involved with forecasts and how
forecasts are correctly statistically analysed.
on request
Speakers
IT & Partner
Goals
Uwe Weiss
Weiss is a passionate software expert and is the CEO of
Blue Yonder and advisor to the Data Science Academy.
Dr. Ulrich Kerzel
Kerzel is a senior data scientist at Blue Yonder and cofounder and head of the Data Science Academy. He is a
renowned scientist with research experience gained at
the University of Cambridge and CERN.
Dr. Frank Kienle
Kienle is a senior data scientist at Blue Yonder and
specialises in machine data and the new mega-trend,
the Internet of Things.
Price
£ 890 plus VAT (value-added tax) per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
1 day
Find more details: www.datascienceacademy.co.uk
15
For enterprise
strategists & managers
For analysts, natural scientists, and engineers
Introduction to Database Systems and SQL
In a single day, you will learn to use SQL to
communicate with database systems and you
will learn the most important factors in
efficiently using big data
Course content
u
Historical
u
Basic
overview of database systems
concepts for designing data models
u
Which
database do I need for what?
Business User
u
Relational design
u
ETL processes
u
OLAP systems
u
SQL - Introduction, tips, and best practices
Goals
on request
Speakers
For analysts, natural
scientists, and engineers
Dates:
After the course, you will know how database systems are
used and where they are used. You will be able to judge
which form of system to optimally use for which task. You
will have a good overview of the aspects that are important for efficiently storing data. By using SQL, you will be
able to communicate with the overwhelming majority of
database systems. You will also know the most important
factors for efficiently using big data.
IT & Partner
Boris Stefanovic
Senior software engineer and scrum master at Blue Y
onder. Specialized in software solutions for commerce.
Dr. Joachim Heuser
Analyst & data scientist at Blue Yonder. Internal team
advisor. Expert for the efficient use of large data sets.
Oana Lipovei
Software developer at Blue Yonder in the FROI team with
a great deal of practical experience in customer projects.
Always striving for perfection.
Price
£ 890 plus value-added tax (VAT) per participant
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
1 day
Find more details: www.datascienceacademy.co.uk
16
Unternehmenstratege,
Manager
IT & Partner
Blue Yonder Data integration Expert
Course content
u
Introduction to Blue Yonder‘s product landscape
u
The
standard delivery categories of the Blue Yonder
interface
Blue Yonder forecast query
u
Criteria for data quality and temporal data requirements
u
Error analysis in problematic data delivery
u
F actors of influence on the customer side for the forecast quality
u
Practical
Business User
u
The
exercises for supplying and obtaining data
For analysts, natural
scientists, and engineers
As a Blue Yonder partner, you will obtain
a detailed introduction to the Blue Yonder
forecasting software and can get to know the
requirements of data formats through
practical exercises. You will be trained as an
expert for Blue Yonder solutions so that you
can fully advise your customers on how they
can get their data ready for use
with Blue Yonder‘s software.
Goals
IT & Partner
After the course you will be in position to transform customer data into the Blue Yonder format and to deliver it to the
customer system. In addition, you can query the forecasts
in the Blue Yonder product and make them available to the
customer. As an expert, after the course, you will be able
to advise customers on how the forecast quality can be
optimized through additional data sources and data
“hygiene,“ for use with Blue Yonder.
Target group
Blue Yonder partners, IT employees, and technically knowledgeable data integrators (ETL specialists) who want to
integrate the Blue Yonder interface with their customer‘s
product.
Speakers
Dirk Jung
Pre-Sales Consultant at Blue Yonder. Interface expert.
Dr. Reiner Rudolph
Team Lead Product Development.
Boris Stefanovic
Senior software engineer and scrum master at Blue Yonder. Specialized in software solutions for commerce.
Price
£ 250 plus value-added tax (VAT) per participant
Dates:
on request
The costs include the course, learning materials,
certificate of participation, lunch and refreshments.
Duration
1 day
Find more details: www.datascienceacademy.co.uk
17
An academy for all who use Big Data
to their advantage
If you want to find out how predictive analytics can grow your business and
open new opportunities, then you are in the right place. Our locations, in
Karlsruhe, Germany, as well as Cambridge and London in the UK, offer an ideal
environment to engage with leading experts. We look forward to discussing the
benefits predictive analytics can bring to your business. Please don’t hesitate
to contact us with any questions about the training programme or the academy.
Academy Management
Dr. Ulrich Kerzel
[email protected]
The renowned scientist with research experience from the
University of Cambridge and CERN, Europe’s leading research
facility, as well as a senior data scientist at Blue Yonder, is
co-founder and head of the Data Science Academy.
Course management & contact
Hendrik Jeshen
Tel. +49 (0)721 383117-57
[email protected]
Interested?
Then please visit the Academy
website at:
www.datascienceacademy.co.uk
You will find full details on the academy team and
courses, including dates, locations and registration.
Data Science Academy
Blue Yonder GmbH
Ohio Straße 8
D-76149 Karlsruhe